Systems failure analysis using Z-number theory-based combined compromise solution and full consistency method

Yousefi, Samuel; Valipour, Mahsa; Gül, Muhammet

doi:10.1016/j.asoc.2021.107902

Cited by 44 publications

(17 citation statements)

References 47 publications

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“…For example, Shen and Wang ( 2018 ) used the VIKOR method based on the fuzzy Z-numbers for the regional circular economy development plan. Also, Yousefi et al ( 2021 ) developed the CoCoSo method based on fuzzy Z -number theory for systems failure analysis. Poormirzaee et al ( 2022 ) implemented 4.0 industry strategies in mining engineering based on the integration of the fuzzy Z-numbers with the VIKOR method.…”

Section: Methodsmentioning

confidence: 99%

Assessment of sustainable waste management alternatives using the extensions of the base criterion method and combined compromise solution based on the fuzzy Z-numbers

Zafaranlouei

Ghoushchi

Haseli

2023

Environ Sci Pollut Res

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A number of factors have contributed to the increase in waste production and diversity of waste, such as the increase in population, alterations in consumption patterns, economic development, income changes, urbanization, and industrialization. The production of different types of waste, such as electronic, urban, hospital, and industrial waste, makes it necessary to classify waste accurately and recognize effective criteria for waste management. To design and operate waste management systems, it is necessary to understand the sources and types of waste, as well as information about their composition and rate of production. As a result, this study aims to rank 21 types of waste according to Iran’s economic, social, and environmental criteria, as well as 13 sub-criteria related to those criteria. For this aim, proposed a novel decision-making approach based on the extension of the base criterion method (BCM) and combined compromise solution (CoCoSo) methods under fuzzy Z -numbers. Additionally, sensitivity analysis and comprehensive analysis are conducted on the results of the criteria and alternatives of sustainable waste management. Based on the results of this study, direct profit and reduced landfill are the most important criteria for assessing sustainable waste management alternatives. According to the results of this study, the sub-alternative of industrial metal waste is the most important waste management option. Examining the next sub-alternative ranks under sustainable waste management options (mobile, communication equipment, and battery) shows that electronic waste requires more attention for recycling and sustainable waste management. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-023-26380-z.

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Section: Methodsmentioning

confidence: 99%

Assessment of sustainable waste management alternatives using the extensions of the base criterion method and combined compromise solution based on the fuzzy Z-numbers

Zafaranlouei

Ghoushchi

Haseli

2023

Environ Sci Pollut Res

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“…The first case was applied to validate the proposed approach. Toward this goal, according to the assessment data and Z-FUCOM-CoCoSo model of Yousefi et al [ 77 ], the proposed Z-SPA was compared with other evaluation methods. In the second case, Z-SPA was applied to crane operation hazard risk assessment.…”

Section: Case Studymentioning

confidence: 99%

Risk assessment of crane operation hazards using modified FMEA approach with Z-number and set pair analysis

2024

Heliyon

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“…The proposed model might resolve the uncertainty in failure data and give a strong probabilistic risk analysis logic to represent the dependency between failure events in a manufacturing plant. The FUCOM and CoCoSo approaches were considered by Yousefi et al [40] to improve the classical-FMEA technique in an unpredictable setting. Furthermore, Z-number theory was used to combine the ideas of reliability and uncertainty in evaluating the weight of risk variables.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Food Production: An Intelligent Fault Diagnosis Framework for Analyzing the Risk of Critical Processes

et al. 2022

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Fault diagnosis and prognosis methods are the most useful tools for risk and reliability analysis in food processing systems. Proactive diagnosis techniques such as failure mode and effect analysis (FMEA) are important for detecting all probable failures and facilitating the risk analysis process. However, significant uncertainties exist in the classical-FMEA when it comes to ranking the risk priority numbers (RPNs) of failure modes. Such uncertainties may have an impact on the food sector’s operational safety and maintenance decisions. To address these issues, this research provides a unique FMEA framework for risk analysis within an edible oil purification facility that is based on certain well-known intelligent models. Fuzzy inference systems (FIS), adaptive neuro-fuzzy inference systems (ANFIS), and support vector machine (SVM) models are among those used. The findings of the comparison of the proposed FMEA framework with the classical model revealed that intelligent strategies were more effective in ranking the RPNs of failure modes. Based on the performance criteria, it was discovered that the SVM algorithm classifies the failure modes more accurately and with fewer errors., e.g., RMSE = 7.30 and MAPE = 13.19 with that of other intelligent techniques. Hence, a sensitivity FMEA analysis based on the SVM algorithm was performed to put forward suitable maintenance actions to upgrade the reliability and safety within food processing lines.

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Systems failure analysis using Z-number theory-based combined compromise solution and full consistency method

Cited by 44 publications

References 47 publications

Assessment of sustainable waste management alternatives using the extensions of the base criterion method and combined compromise solution based on the fuzzy Z-numbers

Assessment of sustainable waste management alternatives using the extensions of the base criterion method and combined compromise solution based on the fuzzy Z-numbers

Risk assessment of crane operation hazards using modified FMEA approach with Z-number and set pair analysis

Sustainable Food Production: An Intelligent Fault Diagnosis Framework for Analyzing the Risk of Critical Processes

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